You've got the performance of Apache Spark for your data. You've got the power of Tableau Software for your analytics. Now what?

Spark is fast for in-memory processing. But it's also faster than Hadoop alternatives for on-disk data processing. In this interactive webinar, thought leaders from Databricks, Tableau Software, and Simba Technologies will discuss and demonstrate how to connect Spark data to Tableau with Simba ODBC connectivity, and more importantly, show how to use machine learning to derive insight from Spark data with Tableau visualizations.

Presenters

Pat McDonough

Pat McDonough

Director, Client Solutions, Databricks

Pat McDonough has been an avid proponent and user of open source since the days when the average corporation still thought it was a crazy idea to use it for legitimate business. For the last half decade, he’s been working at companies built around open source, helping their customers build platform solutions for applications, integration, and big data. Pat works at Databricks with the core team from the Apache Spark project, working every day to grow the Spark community and user base.
Jeff Feng

Jeff Feng

Product Manager, Tableau Software

Jeff Feng is a product leader with a passion for building beautiful, intuitive products that delight the user. At Tableau, he lead Tableau's Big Data product roadmap and product strategy to transform the way that people work with data.
Toph Whitmore

Toph Whitmore

VP of Marketing, Simba Technologies

Toph leads Simba Technologies' marketing, and is responsible for Simba branding, marketing engagement, communications delivery, and planning. Toph brings 10+ years' senior marketing and 7+ years' management consulting experience to his role at Simba. Prior to Simba, Toph served in marketing leadership for a cloud-computing software company, advised several startups, and consulted to the Microsoft Corporation. He holds a Bachelors degree in English from Pomona College and a Masters in Business Administration from the Tuck School at Dartmouth College.